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🏛️ The Neural & Evolutionary Crypt
cs.NE: Where Neural & Evolutionary papers rest without their code.
6370
Total Papers
5604
No Code
153
Twilight
613
Has Code
9.6%
Survival Rate
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Old Age
Pre-Synaptic Pool Modification (PSPM): A Supervised Learning Procedure for Spiking Neural Networks
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Dense neural networks as sparse graphs and the lightning initialization
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Overcoming the Curse of Dimensionality in Neural Networks
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A Directionally Selective Neural Network with Separated ON and OFF Pathways for Translational Motion Perception in a Visually Cluttered Environment
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MCRM: Mother Compact Recurrent Memory
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Method for Hybrid Precision Convolutional Neural Network Representation
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A Many-Objective Evolutionary Algorithm Based on Decomposition and Local Dominance
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Development of a sensory-neural network for medical diagnosing
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Pontogammarus Maeoticus Swarm Optimization: A Metaheuristic Optimization Algorithm
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On the computational analysis of the genetic algorithm for attitude control of a carrier system
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Learning to track on-the-fly using a particle filter with annealed- weighted QPSO modeled after a singular Dirac delta potential
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Hierarchical Bi-level Multi-Objective Evolution of Single- and Multi-layer Echo State Network Autoencoders for Data Representations
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q-Neurons: Neuron Activations based on Stochastic Jackson's Derivative Operators
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Optimized Participation of Multiple Fusion Functions in Consensus Creation: An Evolutionary Approach
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Evolutionary Algorithms
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Forecasting the successful execution of horizontal strategy in a diversified corporation via a DEMATEL-supported artificial neural network - A case study
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Reliable counting of weakly labeled concepts by a single spiking neuron model
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Towards Complex Artificial Life
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Triclustering of Gene Expression Microarray data using Evolutionary Approach
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Towards Budget-Driven Hardware Optimization for Deep Convolutional Neural Networks using Stochastic Computing
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A Cell-Division Search Technique for Inversion with Application to Picture-Discovery and Magnetotellurics
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Cortex Neural Network: learning with Neural Network groups
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